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Llama-31-8B_task-1_180-samples_config-3_full
GaetanMichelet/Llama-31-8B_task-1_180-samples_config-3_full
Llama-31-8B_task-1_180-samples_config-3_full is a machine learning model from GaetanMichelet. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Model type
- llama
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024
- SHA
- 937e0258
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Llama-31-8B_task-1_180-samples_config-3_full
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-1, the GaetanMichelet/chat-120_ft_task-1 and the GaetanMichelet/chat-180_ft_task-1 datasets. It achieves the following results on the evaluation set:
- Loss: 0.8992
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4542 | 1.0 | 17 | 2.4259 |
| 2.4022 | 2.0 | 34 | 2.3882 |
| 2.3317 | 3.0 | 51 | 2.3140 |
| 2.2607 | 4.0 | 68 | 2.2050 |
| 2.1352 | 5.0 | 85 | 2.0643 |
| 1.9456 | 6.0 | 102 | 1.8885 |
| 1.7528 | 7.0 | 119 | 1.7025 |
| 1.4935 | 8.0 | 136 | 1.4674 |
| 1.2733 | 9.0 | 153 | 1.2421 |
| 1.1154 | 10.0 | 170 | 1.1134 |
| 1.1202 | 11.0 | 187 | 1.0689 |
| 0.9449 | 12.0 | 204 | 1.0450 |
| 0.9973 | 13.0 | 221 | 1.0253 |
| 1.0562 | 14.0 | 238 | 1.0091 |
| 0.9947 | 15.0 | 255 | 0.9928 |
| 1.0096 | 16.0 | 272 | 0.9804 |
| 0.9222 | 17.0 | 289 | 0.9692 |
| 0.8838 | 18.0 | 306 | 0.9603 |
| 0.8942 | 19.0 | 323 | 0.9511 |
| 0.9058 | 20.0 | 340 | 0.9432 |
| 0.8837 | 21.0 | 357 | 0.9354 |
| 0.795 | 22.0 | 374 | 0.9315 |
| 0.8395 | 23.0 | 391 | 0.9243 |
| 0.8308 | 24.0 | 408 | 0.9169 |
| 0.7863 | 25.0 | 425 | 0.9138 |
| 0.7468 | 26.0 | 442 | 0.9068 |
| 0.7658 | 27.0 | 459 | 0.9008 |
| 0.7128 | 28.0 | 476 | 0.8992 |
| 0.6474 | 29.0 | 493 | 0.9064 |
| 0.6387 | 30.0 | 510 | 0.9089 |
| 0.6846 | 31.0 | 527 | 0.9096 |
| 0.6424 | 32.0 | 544 | 0.9173 |
| 0.6598 | 33.0 | 561 | 0.9238 |
| 0.6634 | 34.0 | 578 | 0.9290 |
| 0.5893 | 35.0 | 595 | 0.9400 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Type
- llama
- License
- llama3.1
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024